A Smarter, More Hopeful Future of Work - If We Get Artificial Intelligence Right (#284)
2026-01-13 · 21 min · episode 284 · 14 entities
Asserted relationships
-
0.55
evidence rules-v5
Feed author/publisher: Lynn Thoman
-
0.40
evidence rules-v5
Feed category: Society & Culture
-
0.40
evidence rules-v5
Feed category: Business
-
0.40
evidence rules-v5
Feed category: Education
-
0.40
evidence rules-v5
Feed category: Philosophy
-
0.40
evidence rules-v5
Feed category: Courses
-
0.40
evidence rules-v5
Feed category: Management
Entities found in this episode
concepts 4
-
0.50
evidence rules-v5
Feed category: Society & Culture
-
0.50
evidence rules-v5
Feed category: Education
-
0.40
evidence rules-v5
Feed category: Society & Culture
-
0.40
evidence rules-v5
Feed category: Education
companys 4
-
0.50
evidence rules-v5
Feed category: Business
-
0.50
evidence rules-v5
Feed category: Philosophy
-
0.40
evidence rules-v5
Feed category: Business
-
0.40
evidence rules-v5
Feed category: Philosophy
websites 4
-
0.50
evidence rules-v5
Feed category: Courses
-
0.50
evidence rules-v5
Feed category: Management
-
0.40
evidence rules-v5
Feed category: Courses
-
0.40
evidence rules-v5
Feed category: Management
persons 2
-
0.70
evidence rules-v5
Feed author/publisher: Lynn Thoman
-
0.55
evidence rules-v5
Feed author/publisher: Lynn Thoman
Episode description as stored
Elon Musk and Geoffrey Hinton warn of an AI-driven job apocalypse.
MIT’s David Autor, one of the world’s leading thinkers on how technology reshapes work, says the real danger lies somewhere else.
The biggest risk of AI isn’t mass unemployment - it’s whether human skills and expertise will still matter.
David explains how AI could expand middle-class opportunity by lowering barriers to high-value work, why past technologies created more new jobs than they destroyed, and what we need to get right to make this moment a hopeful one.